AutoML Leaderboard

Best model name model_type metric_type metric_value train_time
1_DecisionTree Decision Tree logloss 1.72988 2.69
2_DecisionTree Decision Tree logloss 4.04011 2.07
3_DecisionTree Decision Tree logloss 4.04011 2.1
4_Linear Linear logloss 1.96024 20.16
14_LightGBM LightGBM logloss 1.68199 2.69
5_Xgboost Xgboost logloss 1.70127 3.23
5_Xgboost_categorical_mix Xgboost logloss 1.7307 3.52
14_LightGBM_KMeansFeatures LightGBM logloss 1.50112 3.24
15_LightGBM LightGBM logloss 1.50112 1.93
16_LightGBM LightGBM logloss 1.68199 1.33
17_Xgboost Xgboost logloss 1.70489 1.57
18_Xgboost Xgboost logloss 1.71091 1.45
19_DecisionTree Decision Tree logloss 2.1686 1.15
20_LightGBM LightGBM logloss 1.41144 1.65
21_LightGBM LightGBM logloss 1.41144 1.65
22_LightGBM LightGBM logloss 1.4546 1.55
the best Ensemble Ensemble logloss 1.32742 1.65

AutoML Performance

AutoML Performance

AutoML Performance Boxplot

AutoML Performance Boxplot

Spearman Correlation of Models

models spearman correlation